Evidence map›Paper›PMID 30723123›Full record

ReviewmBio2019

Host-Microbe Coevolution: Applying Evidence from Model Systems to Complex Marine Invertebrate Holobionts.

Paul A O'Brien, Nicole S Webster, David J Miller, David G Bourne

Abstract readReview
In one paragraph

Review in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic Review: Long-Read Sequencing in Algal Studies.International journal of molecular sciences · 2026
    Pooled it
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  10. bioRxiv : the preprint server for biology · 2025
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  18. International journal of systematic and evolutionary microbiology · 2025
    Article
  19. Article
  20. The role of animal hosts in shaping gut microbiome variation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Paul A O'BrienCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Nicole S WebsterAustralian Institute of Marine Science, Townsville, QLD, Australia.
David J MillerARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia.
David G BourneCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia david.bourne@jcu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine invertebrates often host diverse microbial communities, making it difficult to identify important symbionts and to understand how these communities are structured. This complexity has also made it challenging to assign microbial functions and to unravel the myriad of interactions among the microbiota. Here we propose to address these issues by applying evidence from model systems of host-microbe coevolution to complex marine invertebrate microbiomes. Coevolution is the reciprocal adaptation of one lineage in response to another and can occur through the interaction of a host and its beneficial symbiont. A classic indicator of coevolution is codivergence of host and microbe, and evidence of this is found in both corals and sponges. Metabolic collaboration between host and microbe is often linked to codivergence and appears likely in complex holobionts, where microbial symbionts can interact with host cells through production and degradation of metabolic compounds. Neutral models are also useful to distinguish selected microbes against a background population consisting predominately of random associates. Enhanced understanding of the interactions between marine invertebrates and their microbial communities is urgently required as coral reefs face unprecedented local and global pressures and as active restoration approaches, including manipulation of the microbiome, are proposed to improve the health and tolerance of reef species. On the basis of a detailed review of the literature, we propose three research criteria for examining coevolution in marine invertebrates: (i) identifying stochastic and deterministic components of the microbiome, (ii) assessing codivergence of host and microbe, and (iii) confirming the intimate association based on shared metabolic function.

Indexed as

Biological EvolutionMicrobiotaAnimalsAquatic OrganismsInvertebratescodivergencecoevolutionmarine invertebratesmicrobiomephylosymbiosis

Identifiers

PMID30723123
PMCPMC6428750

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.